Systems, apparatuses, and methods to facilitate coordinated scheduling in wireless communication systems

ABSTRACT

A system and method of coordinating scheduling in a wireless communication system are described herein. In one aspect, user equipments determine one or more cells that interfere with communications received by the user equipments. The user equipment may determine particular information about the interfering cells, including a metric function based on the precoding matrix used by the interfering cell. The user equipment may transmit this information to the interfering cell in order to coordinate the use of precoding matrices between cells.

CLAIM OF PRIORITY

This application claims the benefit of U.S. Provisional Application No.61/319,097, filed Mar. 30, 2010; U.S. Provisional Application No.61/319,105, filed Mar. 30, 2010; and U.S. Provisional Application No.61/319,112, filed Mar. 30, 2010, the entire contents of each of whichare incorporated herein by reference.

REFERENCE TO CO-PENDING APPLICATIONS FOR PATENT

The present Application for Patent is related to the followingco-pending U.S. patent application Ser. No. 13/046,091, entitled,“SYSTEMS, APPARATUSES, AND METHODS TO FACILITATE COORDINATED SCHEDULINGIN WIRELESS COMMUNICATION SYSTEMS,” filed concurrently herewith,assigned to the assignee hereof, and expressly incorporated by referenceherein.

BACKGROUND

1. Field

The present application relates generally to wireless communication, andmore specifically to systems and methods for coordinating the use ofpre-coding matrices between wireless devices to reduce interference.

2. Background

The popularity of high-rate wireless data services is increasing thedemand for access to the available frequency spectrum. The ability tosatisfy demand is often limited by a lack of available frequencyspectrum that may be used for reliable communications within ageographic area. Improvements in spectral efficiency may contribute toimproved network capacity, thereby allowing more subscribers access tothe available frequency spectrum. Additionally and/or alternatively,improvements in spectral efficiency may contribute to an overallimprovement in data rates within an allocated band in order to offersubscribers a better experience and ensuing perceived quality-of-service(QoS) when utilizing high-rate wireless data services.

Towards the aim of improving spectral efficiency, a group of techniquesknown as Coordinated Multipoint (CoMP) transmission techniques has beenproposed for Long Term Evolution Advanced (LTE-Advanced). One such CoMPtechnique involves access points (e.g. base stations and the like)coordinating scheduling decisions. Coordinated scheduling may result inreduced interference, especially for cell-edge user devices, which aretypically subject to strong inter-cell interference from one or morenon-serving access points. Reducing interference may contribute to animprovement in data throughputs for some user devices. However,conventional wireless systems are not configured to exchange the type ofinformation or make the types of determinations associated withcoordinated scheduling.

SUMMARY

The systems, methods, and devices of the invention each have severalaspects, no single one of which is solely responsible for its desirableattributes. Without limiting the scope of this invention as expressed bythe claims which follow, some features will now be discussed briefly.After considering this discussion, and particularly after reading thesection entitled “Detailed Description” one will understand how thefeatures of this invention provide advantages that include reducinginterference of beamformed communication signals by employing schedulingof available pre-coding matrices.

One embodiment of the disclosure provides a method of facilitatingreporting for coordinated scheduling in a wireless communication system.The method comprises identifying one or more interferers having a powerexceeding a threshold. The method further comprises determining, fromthe one or more interferers, a respective one or more interferencemetric functions based, at least, on the one or more interferers nottransmitting data traffic, a precoding matrix of a serving cell beingconstant, and/or a signal from the serving cell being constant. Themethod further comprises transmitting a report indicative of a utilitymetric that is based at least in part on a link level performance,wherein the report is based, at least, on precoding matrix indicatorinformation and the one or more interference metric functions, andwherein the transmitting is from a user equipment to one or more cells.

Another embodiment of the disclosure provides an apparatus forfacilitating reporting for coordinated scheduling in a wirelesscommunication system. The apparatus comprises a processor. The processoris configured to identify one or more interferers having a powerexceeding a threshold. The processor is configured to determine, fromthe one or more interferers, a respective one or more interferencemetric functions based, at least, on the one or more interferers nottransmitting data traffic, a precoding matrix of a serving cell beingconstant, and/or a signal from the serving cell being constant. Theapparatus further comprises a transmitter configured to transmit to oneor more cells a report indicative of a utility metric that is based atleast in part on a link level performance, wherein the report is based,at least, on precoding matrix indicator information and the one or moreinterference metric functions.

Another embodiment of the disclosure provides an apparatus forfacilitating reporting for coordinated scheduling in a wirelesscommunication system. The apparatus comprises means for identifying oneor more interferers having a power exceeding a threshold. The apparatusfurther comprises means for determining, from the one or moreinterferers, a respective one or more interference metric functionsbased, at least, on the one or more interferers not transmitting datatraffic, a precoding matrix of a serving cell being constant, and/or asignal from the serving cell being constant. The apparatus furthercomprises means for transmitting to one or more cells a reportindicative of a utility metric that is based at least in part on a linklevel performance, wherein the report is based, at least, on precodingmatrix indicator information and the one or more interference metricfunctions.

Another embodiment of the disclosure provides a computer program productcomprising computer-readable medium. The computer-readable mediumcomprises code for causing a computer to identify one or moreinterferers having a power exceeding a threshold. The computer-readablemedium further comprises code for causing a computer to determine, fromthe one or more interferers, a respective one or more interferencemetric functions based, at least, on the one or more interferers nottransmitting data traffic, a precoding matrix of a serving cell beingconstant, and/or a signal from the serving cell being constant. Thecomputer-readable medium further comprises code for causing a computerto transmit a report indicative of a utility metric that is based atleast in part on a link level performance, wherein the report is based,at least, on precoding matrix indicator information and the one or moreinterference metric functions, and wherein the transmitting is from auser equipment to one or more cells.

Another embodiment of the disclosure provides a method of facilitatingreporting for coordinated scheduling in a wireless communication system.The method comprises identifying one or more interferers having a powerexceeding a threshold. The method further comprises determining one ormore precoding matrices used by the identified one or more interferers.The method further comprises transmitting from a user equipment to oneor more cells one or more instructions to stop use of the one or moreprecoding matrices by the one or more cells.

Another embodiment of the disclosure provides an apparatus forfacilitating reporting for coordinated scheduling in a wirelesscommunication system. The apparatus comprises a processor configured toidentify one or more interferers having a power exceeding a threshold.The processor is further configured to determine one or more precodingmatrices used by the identified one or more interferers. The apparatusfurther comprises a transmitter configured to transmit to one or morecells one or more instructions to stop use of the one or more precodingmatrices by the one or more cells.

Another embodiment of the disclosure provides an apparatus forfacilitating reporting for coordinated scheduling in a wirelesscommunication system. The apparatus comprises means for identifying oneor more interferers having a power exceeding a threshold. The apparatusfurther comprises means for determining one or more precoding matricesused by the identified one or more interferers. The apparatus furthercomprises means for transmitting to one or more cells one or moreinstructions to stop use of the one or more precoding matrices by theone or more cells.

Another embodiment of the disclosure provides a computer program productcomprising computer-readable medium. The computer-readable mediumcomprises code for causing a computer to identify one or moreinterferers having a power exceeding a threshold. The computer-readablemedium further comprises code for causing a computer to determine one ormore precoding matrices used by the identified one or more interferers.The computer-readable medium further comprises code for causing acomputer to transmit from a user equipment to one or more cells one ormore instructions to stop use of the one or more precoding matrices bythe one or more cells.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an exemplary wireless communication network.

FIG. 2 illustrates functional block diagrams of an exemplary basestation and an exemplary user equipment shown in FIG. 1.

FIG. 3 is a flowchart of an exemplary process for transmitting relevantinformation for scheduling from the user equipment to the base stationshown in FIG. 1.

FIG. 4 is a flowchart of an exemplary process for schedulingcommunications in the wireless communication network shown in FIG. 1.

FIG. 5 is a flowchart of an exemplary process for performing pair-wisecomparisons of loss versus gains in utility metrics within and acrosscoordinating cells.

FIG. 6 illustrates pre-coding matrix preferences for multiple cells.

FIG. 7 illustrates a functional block diagram of another exemplary userequipment shown in FIG. 1.

FIG. 8 illustrates a functional block diagram of another exemplary basestation shown in FIG. 1.

DETAILED DESCRIPTION

The word “exemplary” is used herein to mean “serving as an example,instance, or illustration.” Any embodiment described herein as“exemplary” is not necessarily to be construed as preferred oradvantageous over other embodiments. The techniques described herein maybe used for various wireless communication networks such as CodeDivision Multiple Access (CDMA) networks, Time Division Multiple Access(TDMA) networks, Frequency Division Multiple Access (FDMA) networks,Orthogonal FDMA (OFDMA) networks, Single-Carrier FDMA (SC-FDMA)networks, etc. The terms “networks” and “systems” are often usedinterchangeably. A CDMA network may implement a radio technology such asUniversal Terrestrial Radio Access (UTRA), cdma2000, etc. UTRA includesWideband-CDMA (W-CDMA) and Low Chip Rate (LCR). cdma2000 covers IS-2000,IS-95 and IS-856 standards. A TDMA network may implement a radiotechnology such as Global System for Mobile Communications (GSM). AnOFDMA network may implement a radio technology such as Evolved UTRA(E-UTRA), IEEE 802.11, IEEE 802.16, IEEE 802.20, Flash-OFDMA, etc. UTRA,E-UTRA, and GSM are part of Universal Mobile Telecommunication System(UMTS). Long Term Evolution (LTE) is an upcoming release of UMTS thatuses E-UTRA. UTRA, E-UTRA, GSM, UMTS and LTE are described in documentsfrom an organization named “3rd Generation Partnership Project” (3GPP).cdma2000 is described in documents from an organization named “3rdGeneration Partnership Project 2” (3GPP2). These various radiotechnologies and standards are known in the art.

Single carrier frequency division multiple access (SC-FDMA), whichutilizes single carrier modulation and frequency domain equalization isa technique. SC-FDMA has similar performance and essentially the sameoverall complexity as those of OFDMA system. SC-FDMA signal has lowerpeak-to-average power ratio (PAPR) because of its inherent singlecarrier structure. SC-FDMA has drawn great attention, especially in theuplink communications where lower PAPR greatly benefits the mobileterminal in terms of transmit power efficiency. It is currently aworking assumption for uplink multiple access scheme in 3GPP Long TermEvolution (LTE), or Evolved UTRA.

In some aspects the teachings herein may be employed in a networkemploying a group of techniques known as Coordinated Multipoint (CoMP)transmission techniques has been proposed for Long Term EvolutionAdvanced (LTE-Advanced).

FIG. 1 illustrates an exemplary wireless communication network 100. Thewireless communication network 100 is configured to supportcommunication between a number of users. The wireless communicationnetwork 100 may be divided into one or more cells 102, such as, forexample, cells 102 a-102 g. Communication coverage in cells 102 a-102 gmay be provided by one or more base stations (BSs) 104 (e.g., nodes,access points, etc.), such as, for example, BSs 104 a-104 g. Each BS 104may provide communication coverage to a corresponding cell 102 and maybe referred to as a serving base station of that cell. The BSs 104 mayinteract with a plurality of user equipments (UEs), such as, forexample, UEs 106 a-106 l. The terms “cell” and “BS” may be usedinterchangeably herein and refer to a physical device or a geographicalregion as appropriate from the context in which the term is used.

Each UE 106 may communicate with one or more BSs 104 on a forward link(FL) and/or a reverse link (RL) at a given moment. A FL is acommunication link from a BS to an UE. A RL is a communication link froman UE to a BS. The FL may also be referred to as the downlink. Further,the RL may also be referred to as the uplink. The BSs 104 may beinterconnected, for example, by appropriate wired or wireless interfacesand may be able to communicate with each other. Accordingly, each UE 106may communicate with another UE 106 through one or more BSs 104. Forexample, the UE 106 j may communicate with the UE 106 h as follows. TheUE 106 j may communicate with the BS 104 d. The BS 104 d may thencommunicate with the BS 104 b. The BS 104 b may then communicate withthe UE 106 h. Accordingly, a communication is established between the UE106 j and the UE 106 h.

The wireless communication network 100 may provide service over a largegeographic region. For example, the cells 102 a-102 g may cover only afew blocks within a neighborhood or several square miles in a ruralenvironment. In one embodiment, each cell may be further divided intoone or more sectors (not shown).

An UE 106 may be a wireless communication device (e.g., a mobile phone,router, personal computer, server, etc.) used by a user to send andreceive voice or data over a communications network. An user equipment(UE) may also be referred to herein as an access terminal (AT), as amobile station (MS), or as a terminal device. As shown, UEs 106 a, 106h, and 106 j comprise routers. UEs 106 b-106 g, 106 i, 106 k, and 106 lcomprise mobile phones. However, each of UEs 106 a-106 l may compriseany suitable communication device.

A wireless multiple-access communication system may simultaneouslysupport communication for multiple wireless UEs. As mentioned above,each UE may communicate with one or more BSs via transmissions on theforward and reverse links. The forward link (or downlink) refers to thecommunication link from the BS to the UE, and the reverse link (oruplink) refers to the communication link from the UE to the BS. Thiscommunication link may be established via a single-in-single-out system,a multiple-in-multiple-out (“MIMO”) system, or some other type ofsystem.

A MIMO system employs multiple (NT) transmit antennas and multiple (NR)receive antennas for data transmission. A MIMO channel formed by the NTtransmit and NR receive antennas may comprise NS independent channels,which are also referred to as spatial channels, where NS≦min {NT, NR}.Each of the NS independent channels corresponds to a dimension. The MIMOsystem may provide improved performance (e.g., higher throughput and/orgreater reliability) if the additional dimensionalities created by themultiple transmit and receive antennas are utilized.

A MIMO system may support time division duplex (“TDD”) and frequencydivision duplex (“FDD”). In a TDD system, the forward and reverse linktransmissions are on the same frequency region so that the reciprocityprinciple allows the estimation of the forward link channel from thereverse link channel. This enables a device (e.g., a BS, an UE, etc.) toextract a transmit beam-forming gain on the forward link when multipleantennas are available at the device.

The teachings herein may be incorporated into a device (e.g., a BS, anUE, etc.) employing various components for communicating with at leastone other device.

FIG. 2 illustrates functional block diagrams of an exemplary BS 104 aand an exemplary UE 106 a shown in FIG. 1. In a MIMO system 200, the BS104 a communicates with one or more UEs such as the UE 106 a. At the BS104 a, traffic data for a number of data streams is provided from a datasource 212 to a transmit (“TX”) data processor 214.

In one embodiment, each data stream is transmitted over a respectivetransmit antenna. The TX data processor 214 formats, codes, andinterleaves the traffic data for each data stream based on a particularcoding scheme selected for that data stream to provide coded data.

The coded data for each data stream may be multiplexed with pilot datausing OFDM techniques. The pilot data is typically a known data patternthat is processed in a known manner and may be used at the receiversystem to estimate the channel response. The multiplexed pilot and codeddata for each data stream is then modulated (i.e., symbol mapped) basedon a particular modulation scheme (e.g., BPSK, QSPK, M-PSK, or M-QAM)selected for that data stream to provide modulation symbols. The datarate, coding, and modulation for each data stream may be determined byinstructions performed by a processor 230. A data memory 232 may storeprogram code, data, and other information used by the processor 230 orother components of the BS 104 a.

The modulation symbols for all data streams are then provided to a TXMIMO processor 220, which may further process the modulation symbols(e.g., for OFDM). The TX MIMO processor 220 then provides NT modulationsymbol streams to NT transceivers (“XCVR”) 222A through 222T. In someaspects, the TX MIMO processor 220 applies beam-forming weights to thesymbols of the data streams and to the antenna from which the symbol isbeing transmitted.

Each transceiver 222 receives and processes a respective symbol streamto provide one or more analog signals, and further conditions (e.g.,amplifies, filters, and upconverts) the analog signals to provide amodulated signal suitable for transmission over the MIMO channel. NTmodulated signals from transceivers 222A through 222T are thentransmitted from NT antennas 224A through 224T, respectively.

At the UE 106 a, the transmitted modulated signals are received by NRantennas 252A through 252R and the received signal from each antenna 252is provided to a respective transceiver (“XCVR”) 254A through 254R. Eachtransceiver 254 conditions (e.g., filters, amplifies, and downconverts)a respective received signal, digitizes the conditioned signal toprovide samples, and further processes the samples to provide acorresponding “received” symbol stream.

A receive (“RX”) data processor 260 then receives and processes the NRreceived symbol streams from NR transceivers 254 based on a particularreceiver processing technique to provide NT “detected” symbol streams.The RX data processor 260 then demodulates, deinterleaves, and decodeseach detected symbol stream to recover the traffic data for the datastream. The processing performed by the RX data processor 260 iscomplementary to that performed by the TX MIMO processor 220 and the TXdata processor 214 at the BS 104 a.

A processor 270 periodically determines which pre-coding matrix to use(discussed below). The processor 270 formulates a reverse link messagecomprising a matrix index portion and a rank value portion. A datamemory 272 may store program code, data, and other information used bythe processor 270 or other components of the UE 106 a.

The reverse link message may comprise various types of informationregarding the communication link and/or the received data stream. Thereverse link message is then processed by a TX data processor 238. TheTX data processor 238 also receives traffic data for a number of datastreams from a data source 236. The modulator 280 modulates the datastreams. Further, the transceivers 254A through 254R condition the datastreams and transmit the data streams back to the BS 104 a.

At the BS 104 a, the modulated signals from the UE 106 a are received bythe antennas 224. Further, the transceivers 222 condition the modulatedsignals. A demodulator (“DEMOD”) 240 demodulates the modulated signals.A RX data processor 242 processes the demodulated signals and extractsthe reverse link message (e.g., information) transmitted by the UE 106a. The processor 230 then determines which pre-coding matrix to use fordetermining the beam-forming weights. Further, the processor 230processes the extracted message. It should be appreciated that for eachBS 104 a and UE 106 a the functionality of two or more of the describedcomponents may be provided by a single component.

It should be understood that FIG. 2 is just one example of an UE 106 aand a BS 104. The UE 106 a and the BS 104 may also each comprise anysuitable communication device may further comprise a memory for storingdata and/or instructions, a processor for executing instructions andperforming the methods described herein, and a transceiver (or areceiver and a transmitter) for communicating data and/or some othercommunication interface.

In communications networks, such as shown in FIG. 1, inter-cellinterference from one or more non-serving base stations may result inreduced communication quality. For example, communications from the BS104 d to UE 106 j in cell 102 d may cause interference withcommunications from BS 104 f to UE 106 f in cell 102 f. As shown in FIG.1, the signals causing interference are illustrated as dashed lines,while the actual communication signals desired between devices areillustrated as solid lines. This occurs because the signals sent by eachBS 104 do not remain only within the cell 102 where the BS 104 islocated, but rather also travel into other cells. Inter-cellinterference may be more apparent at the edge of a given cell 102, wherethe signals transmitted from the serving BS 104 are weakest, and thesignals transmitted from the non-serving BS 104 are strongest. Theinterference may require data throughputs be reduced, such as toaccommodate additional error correcting codes in communication so as tooffset the interference.

In order to reduce inter-cell interference, BSs 104 in different cells102 may coordinate the use of pre-coding matrices with one another. Suchcoordination may improve the received signal to interference and noiseratio (SINR) at the UEs 106 served by a given BS 104. For example, theuse of a particular pre-coding matrix by the BS 104 a to communicatewith the UE 106 a it serves may improve the SINR at the UE 106 a.Similarly, the restriction of use of a particular pre-coding matrix byother BSs 104 (e.g., neighboring BSs 104 c, 104 d, and 104 b inrespective neighboring cells 102) in the vicinity of the cell 102 aserved by the BS 104 a may improve the received SINR at the UE 106 a.This may occur because signals transmitted using the same pre-codingmatrix are more likely to interfere with one another. Therefore, it maybe beneficial to determine which BS 104 should use which pre-codingmatrices in order to improve communications throughout the network 100.It should be noted that though examples herein are described withrespect to pre-coding matrices, other transmission factors may becoordinated between BSs in a similar fashion, such as other types ofcodebooks.

As discussed above with respect to FIG. 2, the UE 106 a and the BS 104 adetermine pre-coding matrices to use for communicating. Below aredescribed various methods that may be performed by UEs 106 and/or BSs104 in order to coordinate determination of the use of such pre-codingmatrices for communication.

In some embodiments, the UEs 106 and/or BSs 104 can be configured toenable and exploit distributed and iterative coordinated schedulingdescribed herein to determine the use of pre-coding matrices forcommunication. The distributed and iterative coordinated schedulingimproves the received SINR at a UE 106, by restricting utilization ofone or more pre-coding matrices by a coverage cell causing interferingto users within a serving coverage cell. The coverage cell that causesinterference is termed herein “interfering cell.” The scheduling may beperformed between a set of cells referred to as a cluster as it may notbe feasible to coordinate scheduling between all of the cells in a givennetwork. Selection of cells for a given cluster is further describedlater in this application.

In some embodiments, the UEs 106 gather relevant information regardinginterference received from interfering cells 102. The UEs 106 maytransmit this information, information regarding a pre-coding matrix theUE 106 wants to use, and/or information regarding a pre-coding matrixthe UE 106 does not want other cells in the same cluster as the UE 106to use to a respective serving BS 104 and/or BSs 104 of interferingcells 102 of the cluster.

The BSs 104 of a cluster may utilize this information from the UEs 106to coordinate the use of pre-coding matrices for communications in thecells 102. For example, the BS 104 a may calculate, as a utility metric,a loss in communication quality with the UE 106 a (and additional UEs106 served by the BS 104 a, which are not shown) if a certain pre-codingmatrix is not used by the BS 104 a in the cell 102 a. The BS 104 a mayfurther compare this loss in the utility metric to the gain in theutility metric from the use of the pre-coding matrix by UEs 106 (e.g.,UE 106 c) served by a BS 104 (e.g., BS 104 c) in a neighboring cell 102(e.g., cell 102 c). If the gain in the utility metric from use of thepre-coding matrix in cell 102 c is greater than the loss of the utilitymetric from restricting use of the pre-coding matrix in cell 102 a, theBSs 104 (e.g., BS 104 a and BS 104 c) may coordinate to restrict use ofthe pre-coding matrix in the cell 102 a and allow use of the pre-codingmatrix in cell 102 c. The gathering of information by the UEs 106 andthe coordination by the BSs 104 is discussed in greater detail below.

In one embodiment, the UE 106 transmits only a restriction request(information regarding a pre-coding matrix the UE 106 does not wantother cells in the same cluster as the UE 106 to use) to a respectiveserving BS 104 and/or BSs 104 of interfering cells 102 of the clusterwithout performing any metric calculations. BSs 104 that receive such arestriction request may be configured to automatically grant any suchreceived restriction requests. Accordingly, such a restriction requestmay also be considered an instruction to restrict use of a particularpre-coding matrix. Such an embodiment eliminates the need to perform anyutility metric calculations. Further, in such an embodiment, though theoverall sum of the utility for UEs 106 may not be maximized, the utilityfor UEs 106 near the edges of cells 102 will be increased, whilepotentially sacrificing the utility of UEs 106 near the centers of cells102. This may be beneficial since UEs near the edges of cells 102typically have much lower data throughput than UEs 106 near the centersof cells 102. Thus, the gain in utility to UEs near the edges of cells102 will typically be greater than the loss in utility to UEs 106 nearthe centers of cells 102.

FIG. 3 is a flowchart of an exemplary process for transmitting relevantinformation for scheduling from the UE 106 to the BS 104 in FIG. 1. Inone embodiment, at a first step 305, each UE 106 (e.g., UE 106 a)gathers relevant information, such as by determining certain informationas discussed below.

Further, at a step 310, each UE 106 generates a channel qualityindicator (CQI) report and/or pre-coding matrix indicator (PMI) report.Continuing at a step 315, each UE 106 transmits the generated report(s)to a respective serving BS 104 (BS 104 a) and/or BSs 104 of interferingcells of the cluster to indicate a preference for one or more pre-codingmatrices based on the current use of pre-coding matrix by UEs 106 in thenetwork. In various embodiments, the UE 106 a can report differentinformation to different BSs 104. The report may include a utilitymetric function indicative of a link level performance of the UE 106 awith the BS 104 a. In various embodiments, the utility metric functionmay additionally or alternatively be indicative of: asignal-to-interference-and-noise ratio, an instantaneous supportabledata rate at a residual block error rate, a long-term data throughput ora ratio of an instantaneous supportable data rate at a residual blockerror rate, a long-term data throughput, and/or a worst interferer. Byway of example, but not limitation, the metric function can depend onthe transmitted power of a signal, the pre-coding matrix associated withthe signal, the interference power of the signal and/or the pre-codingmatrices used by one or more interfering BSs 104 identified by the UE106 a.

Along with the PMI or separately, each UE 106 (e.g., UE 106 a) cantransmit a restriction request to a respective serving BS 104 (BS 104 a)and/or BSs 104 of interfering cells of the cluster to indicate apreference for one or more pre-coding matrices. For example, therestriction request can include information indicative of a pre-codingmatrix that the UE 106 a does not want another cell to use due to theinterference caused upon use. As such, the UE 106 a can request that thepre-coding matrix be restricted from use. The restriction request can beincluded in the report. In one implementation, a UE 106 a transmitsrestriction requests for pre-coding matrices that are identified tocause interference above a particular threshold level, so as not tooverburden the coordinated scheduling.

In the embodiments where the UE 106 a only sends the PMI report and/orrestriction request to its serving BS 104 a, the serving BS 104 afurther sends information to other BSs 104 in the cluster such that eachBS 104 in the cluster has information about restriction requests andmetrics for the UEs 106 in the cluster.

As part of generating the PMI report and/or restriction request fortransmission to the BS 104 a, the UE 106 a may gather information anddetermine certain metrics. For example, the UE 106 a may determine apreferred pre-coding matrix for communications with the BS 104 a. The UE106 a may make this determination under the assumption that all signalsfrom BSs 104 that interfere with communications of the UE 106 a during agiven transmission time interval (TTI) have the same powers and use thesame pre-coding matrices as detected and determined by the UE 106 aduring the given TTI without any assumption of coordination. Thepreferred pre-coding matrix may be referred to as “pre-coding matrix B”and the value of the utility metric function associated with use of thepre-coding matrix B may be referred to as u(B).

The UE 106 a may further determine a worst interferer from among theinterfering BSs 104 in the same cluster as the UE 106 a. For eachrelevant interfering BS 104 (e.g., a BS 104 from which the UE 106 areceives signals of a power that is above a certain threshold), the UE106 a may determine a respective interference metric function. Theinterference metric function can be based, at least, on an assumptionthat the interferer BS 104 is not transmitting data and/or is silent, apre-coding matrix of the BS 104 a serving the UE 106 a being constantand/or the power of a signal from the BS 104 a serving the UE 106 abeing constant. For example, the UE 106 a may assume the interfering BS104 is not transmitting data and therefore can compare the utility valueto the utility value of using the pre-coding matrix when the interferingBS 104 is transmitting in order to determine the loss in utility. Inaddition, the UE 106 a may assume the serving BS 104 a will transmit atthe same power level using the same pre-coding matrix as when theinterference was detected, thereby eliminating the need to estimate howchanges in the transmit power level or the pre-coding matrix of theserving BS 104 a affects interference. The UE 106 a can determine fromwhich interferer BS 104 the interfering signal is from by detecting acell ID in the signal that identifies the BS 104. The pre-coding matrixbeing used by the BS 104 at that time is an interfering pre-codingmatrix. The UE 106 a can evaluate the interference metric functionsgenerated for the set of interferers. The UE 106 a can determine theworst interferer to be the interferer that has the greatest interferencemetric function. The greatest interference metric function value may bereferred to as u(B|B_(w)=0).

The UE 106 a may further determine a pre-coding matrix B_(w) that whenused by the worst interferer results in the smallest value of theutility function u. This pre-coding matrix B_(w) therefore is the worstpre-coding matrix that can be used by the worst interferer from theperspective of the UE 106 a as it corresponds to the highest level ofinterference at the UE 106 a. The corresponding metric value if theworst interferer does not use the pre-coding matrix B_(w) may bereferred to as u(B|B_(w)).

The UE 106 a may also determine a pre-coding matrix B_(b) that when usedby the worst interferer results in the largest value of the utilityfunction u. This pre-coding matrix B_(b) therefore is the bestpre-coding matrix that can be used by the worst interferer from theperspective of the UE 106 a as it corresponds to the lowest level ofinterference at the UE 106 a. The corresponding metric value if theworst interferer uses the pre-coding matrix B_(b) may be referred to asu(B|B_(b)).

The UE 106 a may further include in the PMI report and/or a separatereport information indicative of u(B), u(B|B_(w)=0), u(B|B_(w)), and/oru(B|B_(b)). For example, in some embodiments, the UE can report thedifference in the metric values associated with the worst PMI and thepre-coding matrix: u(B|Bw)−u(B) and/or the PMI related to Bw. In anotherexample, the UE can report the difference in the metric valuesassociated with the best PMI and the pre-coding matrix: u(B|Bb)−u(B)and/or the PMI related to pre-coding matrix, Bb. In another example, theUE can report the metric values associated with the worst PMI, themetric value associated with the pre-coding matrix and/or the pre-codingmatrix, Bw. In another example, the UE can report the metric valuesassociated with the best PMI, the metric value associated with the bestPMI, the metric value associated with the pre-coding matrix, thepre-coding matrix, Bb and/or the pre-coding matrix, Bw. In anotherexample, the UE can report the metric values associated with theinterfering BS 104 for which the metric value u(B|Bw=0) (and theinterfering BS 104 is determined to be the worst interferer).

The BSs 104 of a cluster may utilize this information from the UEs 106including restriction requests to coordinate the use of pre-codingmatrices for communications in the cells 102.

As discussed above, BSs 104 can coordinate use of pre-coding matrices bymaking pair-wise comparisons of losses and gain in utility metrics ofUEs 106. The comparisons of one BS 104 may be independent of thecomparisons of another BS 104. The results of these comparisons can beused to decide whether to use or not to use a particular pre-codingmatrix for communication in a cell 102. In the embodiments describedbelow, no central entity is used to support coordination among the BSs104. Therefore, a distributed approach is used with a goal of maximizingthe sum of utilities of the UEs 106 in all the cells 102 of the cluster.

Given a definition of a utility metric for each UE 106, BSs 104 in acluster can therefore make scheduling decisions such as to increase thelikelihood of maximizing the sum of the utilities of all scheduled UEs106 in the cluster (while considering pre-coding matrix restrictions).

For example, the sum utility of the cluster can be represented by thefollowing equation:

$U = {\sum\limits_{i = 1}^{S}{\sum\limits_{j = 1}^{N_{i}}u_{ij}}}$

-   -   where S is the cluster size, and Ni is the number of UEs 106        that would be scheduled in cell i. The method of maximizing such        a utility function is discussed in detail below.

FIG. 4 is a flowchart of an exemplary process for schedulingcommunications in the wireless communication network shown in FIG. 1. Ata first step 403, one or more physical resource blocks (PRBs) areallocated to the UEs 106 in the cluster. In one embodiment, each BS 104in the cluster ranks the UEs 106 it serves that are eligible to receivea PRB for data transmission from its serving BS 104 to the UE 106. Theranking can be based on any determined or pre-defined schedule metric.The ranking may be performed for each available PRB in each cell.

Continuing at a step 405, each BS 104 may determine a pre-coding matrixfor use by the UEs 106 served by the respective BS 104. The preferencefor a given pre-coding matrix may be based on, for example, restrictionrequests and/or PMI reports received from the UEs 106. For example, theBS 104 a may select the pre-coding matrix that gives the UE 106 a thehighest SINR and/or metric function value based on current networkconditions.

Further at a step 410, the BSs 104 in the cluster may exchangepreliminary scheduling information with each other. The preliminaryscheduling information can include, but is not limited to, informationabout PRB allocations and/or pre-coding matrices. The preliminaryscheduling information may be exchanged, in some embodiments, based, atleast, on receipt of a restriction request by a BS 104 from a UE 106.

Additionally at a step 415, the BSs 104 identify which restrictionrequests received from UEs 106 are valid. For each PRB, a BS 104 canidentify valid restriction requests based, at least, on the preliminaryscheduling information that the BS 104 receives from other BSs 104 inthe cluster. For embodiments wherein identification of valid restrictionrequests is made at a serving BS 104, the valid restriction request canbe transmitted to the interfering BS 104 from the serving BS 104.

Continuing at a step 420, the BSs 104 may perform pair-wise comparisonsof loss versus gains in utility metrics within and across coordinatingcells 102. One method of performing such pair-wise comparisons isfurther described below with respect to FIG. 5.

Further at a step 425, the BSs 104 can accept or reject a restrictionrequest, and communicate the corresponding decision to other BSs 104and/or UEs 106. The scheduler for a BS 104 can accept a restrictionrequest if the utility loss for a UE 106 in the cell served by the BS104 is less than the sum of utility gains for UEs 106 in other cells.Communicating the decision to accept a restriction request, the BS 104can transmit a message that includes information indicative of thedecision to accept the restriction request. The message can betransmitted to the other BSs 104 in the cluster.

In some embodiments, the BS 104 can reject the restriction request ifthe utility loss for a UE 106 in the cell 102 served by the BS 104 isgreater than the sum of utility gains for UEs 106 in other cells 102. Tocommunicate the decision to reject a restriction request, the BS 104 cantransmit a message that includes information indicative of the decisionto reject the restriction request. In some embodiments, the message canbe transmitted to the UE 106 that transmitted the restriction request.In some embodiments, no message may be sent from the BS 104. The lack ofa message from the BS 104 can implicitly signal a rejection.

Additionally at a step 430, the BSs 104 identify a conflict inrestriction of the usage of the pre-coding matrix. For example, aconflict can arise in case wherein a first BS 104 a agrees to restrictusage of a first pre-coding matrix B (such as based on a restrictionrequest from a UE served by a BS 104 c), while, during a same oroverlapping time period, a second coordinating BS 104 b agrees to arestriction request from a UE 106 a served by the BS 104 a based on anassumption that the first pre-coding matrix, B, would still be used bythe first BS 104 a. The conflict in understanding of the usage of thefirst pre-coding matrix B, can be identified by a BS 104 receivingmessages including information indicative of the acceptance of therestriction. For example, the BS 104 a can consider the content ofmessages received from the other coordinating BSs 104, and the messagesthat the BS 104 a transmits (accepting or rejecting restriction requestson a particular pre-coding matrix) in response to one or morerestriction requests that the BS 104 a receives for that or otherpre-coding matrices.

Continuing at a step 435, the BSs 104 can resolve conflicts identifiedin restriction usage of a pre-coding matrix. For example, to resolve theconflict, the BS 104 a can compare the utility gain that the BS 104 aevaluated before accepting a restriction on the pre-coding matrix B, andthe utility gain evaluated by the other coordinating BS 104 b thatassumed that B is used at the BS 104 a. Based on the result of thiscomparison, the BS 104 a can transmit another message, if appropriate.For example, the BS 104 a can reject an acceptance that the BS 104 areceived or revoke an acceptance that the BS 104 a transmitted to the BS104 c or another BS 104 currently or previously. The conflict resolutionstep may be performed iteratively until all conflicts are resolved oruntil some other time period.

Further at a step 440, coordination between BSs 104 may be terminated ifall conflicts are resolved. In some cases, however, all conflicts maynot be resolved within a given time period and coordination between BSs104 may be ended before all conflicts are resolved. For example, iftermination of the coordination occurs before the transmit time interval(TTI) initially intended for data transmission begins, the BSs 104 caninform others BSs 104 by transmitting a termination message and, at astep 445, scheduling transmission to the UEs 106 in their serving cells102 in the next TTI. The BSs 104 can also transmit a termination messageif a BS 104 has not accepted a restriction request for any pre-codingmatrices on any PRBs. As discussed above, such can be the case wherein aBS 104 does not accept a restriction request for any pre-coding matrixon any PRB if the BS 104 determines that acceptance would not result ina utility gain.

At the step 445, if all conflicts in restriction usage are not resolvedbefore the TTI begins, the BSs 104 can schedule transmission to theirUEs 106 according to the decisions already made. As before, the UEs 106can be scheduled to receive data from the BSs 104 in the intended TTI.

The UEs 106 scheduled can then receive during the next TTI. Further, themethod may be repeated for additional TTIs after termination for a givenTTI.

FIG. 5 is a flowchart of an exemplary process for performing pair-wisecomparisons of loss versus gains in utility metrics within and acrosscoordinating cells 102. For example, in some embodiments, for each PRB,at a step 505, a scheduler at a BS 104 can compute a loss in utilitymetric for UEs 106 served by the BS 104 in a given cell 102 if thepre-coding matrix preferred for the UE 106 is restricted. Further, at astep 510 the schedule can compute the gain in the utility metricassociated with UEs 106 in other coordinating cells 102 that wouldbenefit from the restriction. Continuing at a step 515, the schedulercan make the pair-wise comparison of utility losses versus utility gainsunder the assumption of restriction of the pre-coding matrix.

In one embodiment the pair-wise comparisons discussed above can beperformed as follows. For each PRB, each BS 104 assumes that restrictionof only one pre-coding matrix is allowed. In the example describedbelow, UE 106 a, UE 106 c, and UE 106 g are assumed to all be allocatedto the same PRB. The UEs 106 a, 106 c, and 106 j are served by BSs 104a, 104 c, and 104 d, respectively. In the example described below, it isassumed the UE 106 a transmits information to the BS 104 a indicatingits preferred pre-coding matrix is B. Further, the UE 106 c transmitsinformation to the BS 104 c indicating its preferred pre-coding matrixis B′. Additionally, the UE 106 j transmits information to the BS 104 dindicating its preferred pre-coding matrix is B″. Also, it is assumedthe UE 106 a transmits information to the BS 104 c requestingrestriction of pre-coding matrix B′. Further, the UE 106 c transmitsinformation to the BS 104 d requesting restriction of pre-coding matrixB″. Additionally, the UE 106 j transmits information to the BS 104 arequesting restriction of pre-coding matrix B.

Each BS 104 can perform a pair-wise comparison of utility loss for theBS 104's own UEs 106 reporting a pre-coding matrix as preferred andutility gain of the UEs 106 in the neighboring cell requestingrestriction of that pre-coding matrix. For example, BS 104 a may makethe following comparison:

${u_{1}(B)} - {\left. {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{1}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{1}\left( \overset{\sim}{B} \right)}} \right)} \right.\sim{u_{3}\left( B^{''} \middle| B \right)}} - {u_{3}\left( B^{''} \right)}$where,

-   -   u₁(B) is the utility for UE 106 a when using pre-coding matrix B        without any cooperation with neighboring cells;    -   u₁({tilde over (B)}) is the utility for UE 106 a when using        pre-coding matrix {tilde over (B)} (any other pre-coding matrix        than B) without any cooperation with neighboring cells;    -   ũ₁({tilde over (B)}) is the utility for another UE 106 (other        than UE 106 a (e.g., the next UE 106 served by UE 106 a and        ranked for the PRB) served by BS 104 a when using pre-coding        matrix {tilde over (B)} (any other pre-coding matrix than B)        without any cooperation with neighboring cells;

$\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{1}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{1}\left( \overset{\sim}{B} \right)}} \right)$is the maximum utility between u₁({tilde over (B)}) and ũ₁({tilde over(B)}), which may be ũ₁({tilde over (B)}) if the preferred pre-codingmatrix B of the UE 106 a is restricted at the BS 104 a;

-   -   u₃(B″|B) is the utility for UE 106 j served by BS 104 d when        using pre-coding matrix B″ and assuming pre-coding matrix B is        not used by BS 104 a;    -   u₃(B″) is the utility for UE 106 j when using pre-coding matrix        B″ without any cooperation with neighboring cells; and    -   “˜” denotes a comparison between

${u_{1}(B)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{1}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{1}\left( \overset{\sim}{B} \right)}} \right)}$and u₃(B″|B)−u₃(B″).

-   -   Similarly, BS 104 c can make the following comparison:

${u_{2}\left( B^{\prime} \right)} - {\left. {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{2}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{2}\left( \overset{\sim}{B} \right)}} \right)} \right.\sim{u_{1}\left( B \middle| B^{\prime} \right)}} - {u_{1}(B)}$where,

-   -   u₂(B′) is the utility for UE 106 c when using pre-coding matrix        B′ without any cooperation with neighboring cells;    -   u₂({tilde over (B)}) is the utility for UE 106 c when using        pre-coding matrix {tilde over (B)} (any other pre-coding matrix        than B′) without any cooperation with neighboring cells;    -   ũ₂({tilde over (B)}) is the utility for another UE 106 (other        than UE 106 c) served by BS 104 c when using pre-coding matrix        {tilde over (B)} (any other pre-coding matrix than B′) without        any cooperation with neighboring cells;

$\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{2}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{2}\left( \overset{\sim}{B} \right)}} \right)$is the maximum utility between u₂({tilde over (B)}) and ũ₂({tilde over(B)}), which may be ũ₂({tilde over (B)}) if the preferred pre-codingmatrix B′ of the UE 106 c is restricted at the BS 104 c;

-   -   u₁(B|B′) is the utility for UE 106 a served by BS 104 a when        using pre-coding matrix B and assuming pre-coding matrix B′ is        not used by BS 104 c;    -   u₁(B) is the utility for UE 106 a when using pre-coding matrix B        without any cooperation with neighboring cells; and    -   “˜” denotes a comparison between

${u_{2}\left( B^{\prime} \right)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{2}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{2}\left( \overset{\sim}{B} \right)}} \right)}$and u₁(B|B′)−u₁(B).

-   -   Similarly, BS 104 d can make the following comparison:

${u_{3}\left( B^{''} \right)} - {\left. {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{3}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{3}\left( \overset{\sim}{B} \right)}} \right)} \right.\sim{u_{2}\left( B^{\prime} \middle| B^{''} \right)}} - {u_{2}\left( B^{\prime} \right)}$where,

-   -   u₃ (B″) is the utility for UE 106 j when using pre-coding matrix        B″ without any cooperation with neighboring cells;    -   u₃({tilde over (B)}) is the utility for UE 106 j when using        pre-coding matrix {tilde over (B)} (any other pre-coding matrix        than B″) without any cooperation with neighboring cells;    -   ũ₃({tilde over (B)}) is the utility for another UE 106 (other        than UE 106 j) served by BS 104 d when using pre-coding matrix        {tilde over (B)} (any other pre-coding matrix than B″) without        any cooperation with neighboring cells;

$\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{3}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{3}\left( \overset{\sim}{B} \right)}} \right)$is the maximum utility between u₃({tilde over (B)}) and ũ₃({tilde over(B)}), which may be ũ₃({tilde over (B)}) if the preferred pre-codingmatrix B″ of the UE 106 j is restricted at the BS 104 d;

-   -   u₂(B′|B″) is the utility for UE 106 c served by BS 104 c when        using pre-coding matrix B′ and assuming pre-coding matrix B″ is        not used by BS 104 d;    -   u₂(B′) is the utility for UE 106 c when using pre-coding matrix        B′ without any cooperation with neighboring cells; and    -   “˜” denotes a comparison between

${u_{3}\left( B^{''} \right)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{3}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{3}\left( \overset{\sim}{B} \right)}} \right)}$and u₂(B′|B″)−u₂(B′).

The results of the pair-wise comparisons may be as follows:

${{u_{1}(B)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{1}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{1}\left( \overset{\sim}{B} \right)}} \right)}} < {{u_{3}\left( B^{''} \middle| B \right)} - {u_{3}\left( B^{''} \right)}}$${{u_{2}\left( B^{\prime} \right)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{2}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{2}\left( \overset{\sim}{B} \right)}} \right)}} < {{u_{1}\left( B \middle| B^{\prime} \right)} - {u_{1}(B)}}$${{u_{3}\left( B^{''} \right)} - {\max\left( {{\arg{\max\limits_{\overset{\sim}{B}}{u_{3}\left( \overset{\sim}{B} \right)}}},{{\overset{\sim}{u}}_{3}\left( \overset{\sim}{B} \right)}} \right)}} > {{u_{2}\left( B^{\prime} \middle| B^{''} \right)} - {u_{2}\left( B^{\prime} \right)}}$

In response to the pair-wise comparisons performed by the BSs 104, BS104 a may send a request grant message to BS 104 d indicating that therestriction request from the UE 106 j has been accepted. BS 104 c cansend to BS 104 a a request grant message indicating that the restrictionrequest from the UE 106 a has been accepted. BS 104 d can send to BS 104c a request reject message indicating that the restriction request fromthe UE 106 c has been rejected. In some embodiments, the request grantmessage can include the net gain in utility computed by the BS 104sending the request grant. The net gain in utility can be the differenceof the utility gain and the utility loss that would result fromaccepting the restriction request relative to the pre-coding matrix forwhich a UE 106 has requested restriction.

Further as discussed above, the BSs 104 identify a conflict inrestriction of the usage of the pre-coding matrix, such as between therequest grant and request reject messages discussed in the aboveexample. Examples of identifying and resolving such conflicts arediscussed below.

In one example, BS 104 a can identify a conflict as follows. BS 104 ahas received a grant from BS 104 c allowing the use of pre-coding matrixB, while sending a grant to BS 104 d accepting the restriction ofpre-coding matrix B. Since the grant from BS 104 c is based on BS 104 ausing pre-coding matrix B, this is in conflict with the BS 104 aaccepting restriction of that same pre-coding matrix B. In order toresolve the conflict, the BS 104 a may perform an additional pair-wisecomparison as follows:u ₃(B″|B)−u ₃(B″)−u ₁(B)+ũ ₁({tilde over (B)})˜u ₁(B|B′)−u ₁(B)−u ₂(B′)+ũ ₂({tilde over (B)})

In particular, the BS 104 a compares the net utility gain within thecluster from restricting the use of pre-coding matrix B to the netutility gain within the cluster from using pre-coding matrix B based onthe utility information received from the BS 104 c.

If u₃(B″|B)−u₃(B″)−u₁(B)+ũ₁({tilde over(B)})>u₁(B|B′)−u₁(B)−u₂(B′)+ũ₂({tilde over (B)}), the BS 104 adetermines that restricting the use of pre-coding matrix B has a greaternet utility gain than restricting the use of pre-coding matrix B′.Accordingly, the BS 104 a transmits a grant reject message to the BS 104c indicating that BS 104 c may use pre-coding matrix B′ again.

In this case, the final scheduling decisions, after both iterations caninclude: the precoding matrix B not being used by the BS 104 a (e.g.another UE 106 served by the BS 104 a may be scheduled with a precodingmatrix≠B instead of UE 106 a), UE 106 c scheduled with precoding matrixB′, and UE 106 j scheduled with precoding matrix B″.

If u₃(B″|B)−u₃(B″)−u₁(B)+ũ₁({tilde over(B)})<u₁(B|B′)−u₁(B)−u₂(B′)+ũ₂({tilde over (B)}), the BS 104 adetermines that restricting the use of pre-coding matrix B has a lowernet utility gain than restricting the use of pre-coding matrix B′.Accordingly, the BS 104 a transmits a grant reject message to the BS 104d indicating that BS 104 a will use pre-coding matrix B despite therestriction request from the UE 106 j.

In this case, the final scheduling decision, after both iterations caninclude: UE 106 a being scheduled with pre-coding matrix B, thepre-coding matrix B′ not being used by the BS 104 c (e.g. another UE 106served by the BS 104 c may be scheduled with a pre-coding matrix≠B′instead of UE 106 c), and the UE 106 j being scheduled with pre-codingmatrix indicator B″.

In another example, a conflict may be detected at multiple BSs 104. Forexample. In the case of a conflict at all three BSs 104 a, 104 c, and104 d, the first iteration of a pair-wise comparisons of utilitydifferences can be as follows at each of BSs 104 a, 104 c, and 104 d.

At BS 104 a:u ₁(B)−ũ ₁({tilde over (B)})<u ₃(B″|B)−u ₃(B″)

At BS 104 c:u ₂(B′)−ũ ₂({tilde over (B)})<u ₁(B|B′)−u ₁(B)

At BS 104 d:u ₃(B″)−ũ ₃({tilde over (B)})<u ₂(B′|B″)−u ₂(B′)

Based on the comparisons, the BSs 104 may transmit the followingmessages: BS 104 a transmits a request grant to BS 104 d, BS 104 ctransmits a request grant to BS 104 a, and BS 104 d transmits a requestgrant to BS 104 c. Accordingly, there is a conflict at each of the BSs104 a, 104 c, and 104 d.

Accordingly, in the second iteration, pair-wise comparisons of netutility gains for grant sent and grant received at each BS 104 can beperformed. By way of example, but not limitation, an example result ofpair-wise comparison of sent and received grants can be as follows:u ₃(B″|B)−u ₃(B″)+ũ ₁({tilde over (B)})>u ₁(B|B′)−u ₂(B′)+ũ ₂({tildeover (B)})u ₁(B|B′)−u ₁(B)+ũ ₂({tilde over (B)})>u ₂(B′|B″)−u ₃(B″)+ũ ₃({tildeover (B)})u ₂(B′|B″)−u ₂(B′)+ũ ₃({tilde over (B)})<u ₃(B″|B)−u ₁(B)+ũ ₁({tildeover (B)})

Therefore, the messages transmitted after the second iteration ofpair-wise computations can be as follows: BS 104 a sends a grant rejectto BS 104 c, thereby canceling the grant BS 104 a received from BS 104c. BS 104 c sends a grant reject to BS 104 d, thereby canceling thegrant BS 104 c received from BS 104 d. BS 104 d sends a grant reject toBS 104 c, thereby revoking the grant BS 104 d sent from BS 104 c.

Thus, the final scheduling decisions can include: the pre-coding matrixB not being used by the BS 104 a (e.g. another UE 106 served by the BS104 a may be scheduled with a pre-coding matrix≠B instead of UE 106 a),UE 106 c being scheduled with pre-coding matrix B′, and the UE 106 jbeing scheduled with pre-coding matrix B″.

The above examples describe situations where only a single pre-codingmatrix is restricted at a given BS 104 in a PRB. In the above exampleswhere only one pre-coding matrix is allowed to be restricted at most perPRB (or PRB cluster), the utility loss can be the difference in utilityof the best UE and the second best UE in the UE ranking for the PRB (orthe PRB cluster). However, in some embodiments, restriction of more thanone pre-coding matrix can be conducted simultaneously, or concurrently,for any given PRB. For example, a UE ranking for a given PRB at threecoordinating cells 1, 2, and 3 with corresponding restriction requestscan be as shown in FIG. 6. In this example, cell 1 is the serving cellof UE 11, UE 12, UE 13, etc. Further, cell 2 is the serving cell of UE21, UE 22, UE 23, etc. Further, cell 3 is the serving cell of UE 31, UE32, UE 33, etc. The preferred pre-coding matrix of each UE is listednext to the UE in FIG. 6.

As a first step, a first pair-wise comparison can be made as follows:u ₁₁(B ₁)+u ₁₂(B ₂)˜u ₂₁(B ₅ |B ₁)−u ₂₁(B ₅)

The result of the comparison may be as follows:u ₁₁(B ₁)−u ₁₂(B ₂)<u ₂₁(B ₅ |B ₁)−u ₂₁(B ₅)

As a next step, it may be determined whether any restriction request wasreceived for B₂ for the given PRB. If a restriction request wasreceived, a second pair-wise computation can be performed as follows:u ₁₁(B ₁)−u ₁₃(B ₃)˜u ₂₁(B ₅ |B ₁)−u ₂₁(B ₅)+u ₃₁(B ₄ |B ₂)−u ₃₁(B ₄)

If the second pair-wise comparison also computes a positive net gain inutility, acceptance of a restriction for both B₁ and B₂ can beperformed. A similar comparison can then be done for B₃ if a restrictionrequest was received for B₃ as well. If the second pair-wise comparisondoes not compute a positive net gain in utility, the cell can accept therestriction request according to the first comparison above and send arequest grant to cell 2 for B₁.

In some embodiments, cooperative silencing can be employed by cells aspart of coordinated scheduling. For example, a cell that receivesrestriction requests from other coordinating cells can decide to blank agiven PRB, if blanking the PRB would be helpful towards maximizing thesum utility. All UEs in other cells that would receive data on the samePRB as that which the cell blanks can benefit in this case. In thiscase, the variable B denotes the entire codebook of precoding matricesbeing restricted from use.

Cell 1 can compute the following (for the case when the PRB is allocatedto UE11 with preferred precoding matrix B₁):

${\left. {u_{11}\left( B_{1} \right)} \right.\sim{\sum\limits_{{i \in S},{i \neq 1}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \middle| B \right)}}}} - {\sum\limits_{{i \in S},{i \neq 1}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \right)}}}$

Cell 2 can compute the following (for the case when the PRBx isallocated to UE22 with preferred precoding matrix B₂):

${\left. {u_{22}\left( B_{2} \right)} \right.\sim{\sum\limits_{{i \in S},{i \neq 2}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \middle| B \right)}}}} - {\sum\limits_{{i \in S},{i \neq 2}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \right)}}}$

Cell 3 can compute the following (for the case when the PRBx isallocated to UE22 with preferred precoding matrix B₃):

${\left. {u_{33}\left( B_{3} \right)} \right.\sim{\sum\limits_{{i \in S},{i \neq 3}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \middle| B \right)}}}} - {\sum\limits_{{i \in S},{i \neq 3}}{\sum\limits_{j = 1}^{N_{i}}{u_{ij}\left( B_{ij} \right)}}}$

Based on the comparison result, a cell can send a request grant to othercells in the cluster. In the case of any conflicts, net utility gainsreported in the request grants can be compared, followed by grantrejections as appropriate.

Cells 102 may be grouped together in a cluster in a variety of differentways. For example, cells 102 may be clustered based on antennaboresights of the respective BSs 104 being direct towards a commongeographical location in a cluster. In another embodiment, cells 102 areclustered based on antennas of the respective BSs 104 facing oneanother.

In yet another embodiment, a serving BS 104 may be grouped in a clusterwith one or more strong interferer BSs 104. This approach is auser-specific clustering approach as the strong interferer BSs 104 andthe serving BS 104 can be determined relative to a specific UE 106 a.The strong interferer BSs 104 can be identified by a UE 106 a based onone or more measurements of a long-term signal quality metric. Thestrong interferer BSs 104 can be based on the UE 106 a's geometry insome embodiments. For example, a serving BS 104 a and the two strongestinterferer BSs 104 based on the UE 106 a's geometry can be grouped intoa cluster. Employing this clustering approach, UEs in the same cell 102could belong to different clusters.

FIG. 7 illustrates a functional block diagram of another exemplary userequipment 106 shown in FIG. 1. The UE 106 can include a transmitter 710,a processor 720, a memory 730 storing instructions that can be executedon the processor 720, a report generation module 740, a PMI module 750,an interference determination module 760 and/or a metric function module770.

In some embodiments, the transmitter 710 can be configured to transmit areport, such as a PMI report, indicative of a link level performance.The report can be based, at least, on PMI information. The transmitter710 can be configured to transmit the report to one or more BSs 104. Thecells can be a serving BS 104, a worst interfering BS 104 or a servingBS 104 and a worst interfering BS 104 of the UE 106. The transmitter 710can transmit the report over the air (OTA) or via the serving BS 104 forthe UE 106.

The report generation module 740 can be configured to generate thereport prior to the transmitter transmitting the report. The reportgeneration module 740 can include: the PMI module 750, the interferencedetermination module 760 and the metric function 770.

The PMI module 750 can be configured to determine a PMI. The PMI module750 can also be configured to determine the PMI information. The metricfunction and the PMI information can be based, at least, on the worstinterferer.

Determining the PMI can include: determining a precoding matrix of theworst interferer that results in a smallest value of the metricfunction; and determining a precoding matrix of the worst interfererthat results in a largest value of the metric function.

The interference determination module 760 can be configured to determinea worst interferer.

The metric function module 770 can be configured to determine a metricfunction indicative of the link level performance. The processor 720 canbe configured to perform any of the functions described herein.

FIG. 8 illustrates a functional block diagram of another exemplary BS104 shown in FIG. 1. The BS 104 can include a resource allocation module806 configured to allocate a PRB to the UE 106 in some embodiments. Thecell 102 managed by BS 104 can be one of a plurality of coordinatingcells in a cluster.

The BS 104 can also include a pre-coding matrix selection module 808configured to select a preferred pre-coding matrix for use by the BS104, a scheduling module 810 configured to communicate preliminaryscheduling information about the physical resource block and thepreferred pre-coding matrix, and a transceiver 820 configured totransmit a restriction request to at least one of the plurality ofcoordinating cells in the cluster.

The BS 104 can also include a restriction request evaluation module 812configured to: perform a first iteration of a pair-wise computation ofutility, wherein the pair-wise computation of utility is based, atleast, on the restriction requests; and accept or reject the restrictionrequest based, at least, on the one or more pair-wise computations.

The BS 104 can also include a restriction usage conflict module 814configured to: identify a conflict in restriction usage associated withthe precoding matrix; and resolve the conflict in restriction usage,wherein resolving is based, at least, on performing a second iterationof a pair-wise computation of utility. The BS 104 can identify aconflict resultant from a restriction request received from a UE 106 ina cell 102 outside of the cell managed by BS 104.

The BS 502 can also include a scheduling module 810 configured to:terminate coordination in response to at least one of: no conflicts inrestriction usage being identified or no restriction request for anypre-coding matrix on any physical resource block being identified; andschedule the UE 106 in the cell to transmit data to during a nexttransmit time interval, in response to the terminating coordination.

The BS 104 can also include a processor 816 and a memory 818 storinginstructions that can be executed by the processor 816 for performingone or more of the functions described herein.

One of ordinary skill in the art should recognize that various steps mayby added or omitted from the processes described with respect to FIGS.3-5. Further, the various steps of the processes may be performed in adifferent order than described above.

It should be understood that any reference to an element herein using adesignation such as “first,” “second,” and so forth does not generallylimit the quantity or order of those elements. Rather, thesedesignations may be used herein as a convenient method of distinguishingbetween two or more elements or instances of an element. Thus, areference to first and second elements does not mean that only twoelements may be employed there or that the first element must precedethe second element in some manner. Also, unless stated otherwise a setof elements may comprise one or more elements. In addition, terminologyof the form “at least one of: A, B, or C” used in the description or theclaims means “A or B or C or any combination of these elements.”

Those skilled in the art will understand that information and signalsmay be represented using any of a variety of different technologies andtechniques. For example, data, instructions, commands, information,signals, bits, symbols, and chips that may be referenced throughout theabove description may be represented by voltages, currents,electromagnetic waves, magnetic fields or particles, optical fields orparticles, or any combination thereof.

Those skilled in the art will further appreciate that the variousillustrative logical blocks, modules, circuits, methods and algorithmsdescribed in connection with the examples disclosed herein may beimplemented as electronic hardware, computer software, or combinationsof both. To clearly illustrate this interchangeability of hardware andsoftware, various illustrative components, blocks, modules, circuits,methods and algorithms have been described above generally in terms oftheir functionality. Whether such functionality is implemented ashardware or software depends upon the particular application and designconstraints imposed on the overall system. Skilled artisans mayimplement the described functionality in varying ways for eachparticular application, but such implementation decisions should not beinterpreted as causing a departure from the scope of the presentinvention.

The various illustrative logical blocks, modules, and circuits describedin connection with the examples disclosed herein may be implemented orperformed with a general purpose processor, a digital signal processor(DSP), an application specific integrated circuit (ASIC), a fieldprogrammable gate array (FPGA) or other programmable logic device,discrete gate or transistor logic, discrete hardware components, or anycombination thereof designed to perform the functions described herein.A general-purpose processor may be a microprocessor, but in thealternative, the processor may be any conventional processor,controller, microcontroller, or state machine. A processor may also beimplemented as a combination of computing devices, e.g., a combinationof a DSP and a microprocessor, a plurality of microprocessors, one ormore microprocessors in conjunction with a DSP communication, or anyother such configuration.

The steps of a method or algorithm described in connection with theaspects disclosed herein may be embodied directly in hardware, in asoftware module executed by a processor, or in a combination of the two.A software module (e.g., including executable instructions and relateddata) and other data may reside in a data memory such as RAM memory,flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a harddisk, a removable disk, a CD-ROM, or any other form of computer-readablestorage medium known in the art. A sample storage medium may be coupledto a machine such as, for example, a computer/processor (which may bereferred to herein, for convenience, as a “processor”) such theprocessor can read information (e.g., code) from and write informationto the storage medium. A sample storage medium may be integral to theprocessor. The processor and the storage medium may reside in an ASIC.The ASIC may reside in user equipment. In the alternative, the processorand the storage medium may reside as discrete components in userequipment. Moreover, in some aspects any suitable computer-programproduct may comprise a computer-readable medium comprising codes (e.g.,executable by at least one computer) relating to one or more of theaspects of the disclosure. In some aspects a computer program productmay comprise packaging materials.

In one or more exemplary embodiments, the functions described may beimplemented in hardware, software, firmware, or any combination thereof.If implemented in software, the functions may be stored on ortransmitted over as one or more instructions or code on acomputer-readable medium. Computer-readable media includes both computerstorage media and communication media including any medium thatfacilitates transfer of a computer program from one place to another. Astorage media may be any available media that can be accessed by acomputer. By way of example, and not limitation, such computer-readablemedia can comprise RAM, ROM, EEPROM, CD-ROM or other optical diskstorage, magnetic disk storage or other magnetic storage devices, or anyother medium that can be used to carry or store desired program code inthe form of instructions or data structures and that can be accessed bya computer. Also, any connection is properly termed a computer-readablemedium. For example, if the software is transmitted from a website,server, or other remote source using a coaxial cable, fiber optic cable,twisted pair, digital subscriber line (DSL), or wireless technologiessuch as infrared, radio, and microwave, then the coaxial cable, fiberoptic cable, twisted pair, DSL, or wireless technologies such asinfrared, radio, and microwave are included in the definition of medium.Disk and disc, as used herein, includes compact disc (CD), laser disc,optical disc, digital versatile disc (DVD), floppy disk and blu-ray discwhere disks usually reproduce data magnetically, while discs reproducedata optically with lasers. Thus, in some aspects computer readablemedium may comprise non-transitory computer readable medium (e.g.,tangible media). In addition, in some aspects computer readable mediummay comprise transitory computer readable medium (e.g., a signal).Combinations of the above should also be included within the scope ofcomputer-readable media.

The previous description of the disclosed examples is provided to enableany person skilled in the art to make or use the present invention.Various modifications to these examples will be readily apparent tothose skilled in the art, and the generic principles defined herein maybe applied to other examples without departing from the spirit or scopeof the invention. Thus, the present invention is not intended to belimited to the examples shown herein but is to be accorded the widestscope consistent with the principles and novel features disclosedherein.

What is claimed is:
 1. A method operable in a wireless communicationsystem, comprising: identifying one or more interferers having a powerexceeding a threshold; determining, from the one or more interferers, arespective one or more interference metric functions based, at least, onthe one or more interferers not transmitting data traffic, a precodingmatrix of a serving cell being constant, or a signal from the servingcell being constant; and transmitting a report indicative of a utilitymetric that is based at least in part on a link level performance,wherein the report is based, at least, on precoding matrix indicatorinformation and the one or more interference metric functions, andwherein the transmitting is from a user equipment to one or more cells.2. The method of claim 1, further comprising generating the report priorto the transmitting the report, wherein the generating the reportcomprises: determining a worst interferer as one of the one or moreinterferers for which the one or more interference metric functions isgreatest; determining a set of one or more precoding matrix indicators;determining a metric function indicative of the utility metric;determining the precoding matrix indicator information, wherein themetric function and the precoding matrix indicator information is based,at least, on the worst interferer, the set of precoding matrixindicators, or data throughput experienced by the user equipment; andgenerating the report.
 3. The method of claim 2, wherein the determiningof the precoding matrix indicator information comprises: determining aprecoding matrix of the worst interferer that results in a smallestvalue of the metric function; and determining a set of precodingmatrices of the worst interferer that results in the smallest values ofthe metric function; and determining a precoding matrix of the worstinterferer that results in a largest value of the metric function; anddetermining a set of precoding matrices of the worst interferer thatresults in the largest values of the metric function.
 4. The method ofclaim 1, wherein the utility metric is associated with at least one of:a signal-to-interference-and-noise ratio, an instantaneous supportabledata rate at a residual block error rate, a long-term data throughput,or a ratio of an instantaneous supportable data rate at a residual blockerror rate and a long-term data throughput.
 5. The method of claim 1,wherein the utility metric is associated with at least one of: along-term data throughput or a ratio of an instantaneous supportabledata rate at a residual block error rate and a long-term datathroughput.
 6. The method of claim 1, wherein the one or more cells isan interfering cell.
 7. An apparatus in a wireless communication system,comprising: a processor configured to: identify one or more interferershaving a power exceeding a threshold; and determine, from the one ormore interferers, a respective one or more interference metric functionsbased, at least, on the one or more interferers not transmitting datatraffic, a precoding matrix of a serving cell being constant, or asignal from the serving cell being constant; and a transmitterconfigured to transmit to one or more cells a report indicative of autility metric that is based at least in part on a link levelperformance, wherein the report is based, at least, on precoding matrixindicator information and the one or more interference metric functions.8. The apparatus of claim 7, wherein the processor is further configuredto generate the report prior to the transmitter transmitting the report,wherein the processor generates the report by: determining a worstinterferer as one of the one or more interferers for which the one ormore interference metric functions is greatest; determining a set of oneor more precoding matrix indicators; determining a metric functionindicative of the utility metric; determining the precoding matrixindicator information, wherein the metric function and the precodingmatrix indicator information is based, at least, on the worstinterferer, the set of precoding matrix indicators, or data throughputexperienced by the apparatus; and generating the report.
 9. Theapparatus of claim 8, wherein the processor is configured to determinethe precoding matrix information indicator by: determining a precodingmatrix of the worst interferer that results in a smallest value of themetric function; and determining a set of precoding matrices of theworst interferer that results in the smallest values of the metricfunction; and determining a precoding matrix of the worst interfererthat results in a largest value of the metric function; and determininga set of precoding matrices of the worst interferer that results in thelargest values of the metric function.
 10. The apparatus of claim 7,wherein the utility metric is associated with at least one of: asignal-to-interference-and-noise ratio, an instantaneous supportabledata rate at a residual block error rate, a long-term data throughput,or a ratio of an instantaneous supportable data rate at a residual blockerror rate and a long-term data throughput.
 11. The apparatus of claim7, wherein the utility metric is associated with at least one of: along-term data throughput or a ratio of an instantaneous supportabledata rate at a residual block error rate and a long-term datathroughput.
 12. The apparatus of claim 7, wherein the one or more cellsis an interfering cell.
 13. An apparatus in a wireless communicationsystem, comprising: means for identifying one or more interferers havinga power exceeding a threshold; means for determining, from the one ormore interferers, a respective one or more interference metric functionsbased, at least, on the one or more interferers not transmitting datatraffic, a precoding matrix of a serving cell being constant, or asignal from the serving cell being constant; and means for transmittingto one or more cells a report indicative of a utility metric that isbased at least in part on a link level performance, wherein the reportis based, at least, on precoding matrix indicator information and theone or more interference metric functions.
 14. The apparatus of claim13, further comprising means for generating the report prior to thetransmitting the report, wherein the generating the report comprises:determining a worst interferer as one of the one or more interferers forwhich the one or more interference metric functions is greatest;determining a set of one or more precoding matrix indicators;determining a metric function indicative of the utility metric;determining the precoding matrix indicator information, wherein themetric function and the precoding matrix indicator information is based,at least, on the worst interferer, the set of precoding matrixindicators, or data throughput experienced by the user equipment; andgenerating the report.
 15. The apparatus of claim 14, wherein thedetermining of the precoding matrix indicator information comprises:determining a precoding matrix of the worst interferer that results in asmallest value of the metric function; and determining a set ofprecoding matrices of the worst interferer that results in the smallestvalues of the metric function; and determining a precoding matrix of theworst interferer that results in a largest value of the metric function;and determining a set of precoding matrices of the worst interferer thatresults in the largest values of the metric function.
 16. The apparatusof claim 13, wherein the utility metric is associated with at least oneof: a signal-to-interference-and-noise ratio, an instantaneoussupportable data rate at a residual block error rate, a long-term datathroughput, or a ratio of an instantaneous supportable data rate at aresidual block error rate and a long-term data throughput.
 17. Theapparatus of claim 13, wherein the utility metric is associated with atleast one of: a long-term data throughput or a ratio of an instantaneoussupportable data rate at a residual block error rate and a long-termdata throughput.
 18. The apparatus of claim 13, wherein the one or morecells is an interfering cell.
 19. A computer program product comprising:a non-transitory computer-readable medium comprising: code for causing acomputer to identify one or more interferers having a power exceeding athreshold; code for causing a computer to determine, from the one ormore interferers, a respective one or more interference metric functionsbased, at least, on the one or more interferers not transmitting datatraffic, a precoding matrix of a serving cell being constant, or asignal from the serving cell being constant; and code for causing acomputer to transmit a report indicative of a utility metric that isbased at least in part on a link level performance, wherein the reportis based, at least, on precoding matrix indicator information and theone or more interference metric functions, and wherein the transmittingis from a user equipment to one or more cells.
 20. The computer programproduct of claim 19, wherein the non-transitory computer-readable mediumfurther comprises code for causing a computer to generate the reportprior to the transmitting the report, wherein the generating the reportcomprises: determining a worst interferer as one of the one or moreinterferers for which the one or more interference metric functions isgreatest; determining a set of one or more precoding matrix indicators;determining a metric function indicative of the utility metric;determining the precoding matrix indicator information, wherein themetric function and the precoding matrix indicator information is based,at least, on the worst interferer, the set of precoding matrixindicators, or data throughput experienced by the user equipment; andgenerating the report.
 21. The computer program product of claim 20,wherein the determining of the precoding matrix indicator informationcomprises: determining a precoding matrix of the worst interferer thatresults in a smallest value of the metric function; and determining aset of precoding matrices of the worst interferer that results in thesmallest values of the metric function; and determining a precodingmatrix of the worst interferer that results in a largest value of themetric function; and determining a set of precoding matrices of theworst interferer that results in the largest values of the metricfunction.
 22. The computer program product of claim 19, wherein theutility metric is associated with at least one of: asignal-to-interference-and-noise ratio, an instantaneous supportabledata rate at a residual block error rate, a long-term data throughput,or a ratio of an instantaneous supportable data rate at a residual blockerror rate and a long-term data throughput.
 23. The computer programproduct of claim 19, wherein the utility metric is associated with atleast one of: a long-term data throughput or a ratio of an instantaneoussupportable data rate at a residual block error rate and a long-termdata throughput.
 24. The computer program product of claim 19, whereinthe one or more cells is an interfering cell.
 25. A method operable in awireless communication system, comprising: identifying, by a userequipment, one or more interferers having a power exceeding a threshold;determining, from the one or more interferers, a respective one or moreinterference metric functions based, at least, on the one or moreinterferers not transmitting data traffic, a precoding matrix of aserving cell being constant, or a signal from the serving cell beingconstant; determining, by the user equipment, one or more precodingmatrices used by the identified one or more interferers, the one or moreprecoding matrices being identified based, at least, on the one or moreinterference metric functions; and transmitting, from the user equipmentto one or more cells, one or more instructions to stop use of the one ormore precoding matrices by the one or more cells.
 26. The method ofclaim 25, wherein the one or more cells is an interfering cell.
 27. Auser equipment in a wireless communication system, comprising: aprocessor configured to: identify one or more interferers having a powerexceeding a threshold; determine, from the one or more interferers, arespective one or more interference metric functions based, at least, onthe one or more interferers not transmitting data traffic, a precodingmatrix of a serving cell being constant, or a signal from the servingcell being constant; and determine one or more precoding matrices usedby the identified one or more interferers, the one or more precodingmatrices being identified based, at least, on the one or moreinterference metric functions; and a transmitter configured to transmitto one or more cells one or more instructions to stop use of the one ormore precoding matrices by the one or more cells.
 28. The apparatus ofclaim 27, wherein the one or more cells is an interfering cell.
 29. Auser equipment in a wireless communication system, comprising: means foridentifying one or more interferers having a power exceeding athreshold; means for determining, from the one or more interferers, arespective one or more interference metric functions based, at least, onthe one or more interferers not transmitting data traffic, a precodingmatrix of a serving cell being constant, or a signal from the servingcell being constant; means for determining one or more precodingmatrices used by the identified one or more interferers, the one or moreprecoding matrices being identified based, at least, on the one or moreinterference metric functions; and means for transmitting to one or morecells one or more instructions to stop use of the one or more precodingmatrices by the one or more cells.
 30. The apparatus of claim 29,wherein the one or more cells is an interfering cell.
 31. A computerprogram product comprising: a non-transitory computer-readable mediumcomprising: code for causing a computer of a user equipment to identifyone or more interferers having a power exceeding a threshold; code forcausing a computer of the user equipment to determine, from the one ormore interferers, a respective one or more interference metric functionsbased, at least, on the one or more interferers not transmitting datatraffic, a precoding matrix of a serving cell being constant, or asignal from the serving cell being constant; code for causing a computerof the user equipment to determine one or more precoding matrices usedby the identified one or more interferers, the one or more precodingmatrices being identified based, at least, on the one or moreinterference metric functions; and code for causing a computer of theuser equipment to transmit from a user equipment to one or more cellsone or more instructions to stop use of the one or more precodingmatrices by the one or more cells.
 32. The computer program product ofclaim 31, wherein the one or more cells is an interfering cell.